lets_plot.geom_jitter

lets_plot.geom_jitter(mapping=None, *, data=None, stat=None, position=None, show_legend=None, sampling=None, width=None, height=None, **other_args)

Display jittered points, especially for discrete plots or dense plots.

Parameters

  • mapping (FeatureSpec) – Set of aesthetic mappings created by aes() function. Aesthetic mappings describe the way that variables in the data are mapped to plot “aesthetics”.

  • data (dict or DataFrame) – The data to be displayed in this layer. If None, the default, the data is inherited from the plot data as specified in the call to ggplot.

  • stat (str, default=’identity’) – The statistical transformation to use on the data for this layer, as a string. Supported transformations: ‘identity’ (leaves the data unchanged), ‘count’ (counts number of points with same x-axis coordinate), ‘bin’ (counts number of points with x-axis coordinate in the same bin), ‘smooth’ (performs smoothing - linear default), ‘density’ (computes and draws kernel density estimate).

  • position (str or FeatureSpec) – Position adjustment, either as a string (‘identity’, ‘stack’, ‘dodge’, …), or the result of a call to a position adjustment function.

  • show_legend (bool, default=True) – False - do not show legend for this layer.

  • sampling (FeatureSpec) – Result of the call to the sampling_xxx() function. Value None (or ‘none’) will disable sampling for this layer.

  • width (float, default=0.4) – Amount of horizontal variation. The jitter is added in both directions, so the total spread is twice the specified parameter.

  • height (float, default=0.4) – Amount of vertical variation. The jitter is added in both directions, so the total spread is twice the specified parameter.

  • other_args – Other arguments passed on to the layer. These are often aesthetics settings used to set an aesthetic to a fixed value, like color=’red’, fill=’blue’, size=3 or shape=21. They may also be parameters to the paired geom/stat.

Returns

Geom object specification.

Return type

LayerSpec

Note

The jitter geometry is used to create jittered points. The scatterplot is useful for displaying the relationship between two discrete variables.

geom_jitter() understands the following aesthetics mappings:

  • x : x-axis value.

  • y : y-axis value.

  • alpha : transparency level of a point. Understands numbers between 0 and 1.

  • color (colour) : color of a geometry. Can be continuous or discrete. For continuous value this will be a color gradient between two colors.

  • fill : color to paint shape’s inner points. Is applied only to the points of shapes having inner points.

  • shape : shape of the point.

  • size : size of the point.

Examples

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import numpy as np
from lets_plot import *
LetsPlot.setup_html()
n = 1000
np.random.seed(42)
x = np.random.randint(-5, 6, size=n)
y = np.random.randint(10, size=n)
ggplot({'x': x, 'y': y}, aes(x='x', y='y')) + \
    geom_point(color='red', shape=3, size=10) + \
    geom_jitter()


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import numpy as np
from lets_plot import *
LetsPlot.setup_html()
n = 6000
np.random.seed(42)
x = np.random.choice(list('abcde'), size=n)
y = np.random.normal(size=n)
ggplot({'x': x, 'y': y}, aes(x='x', y='y')) + \
    geom_jitter(aes(color='x', size='y'), \
                sampling=sampling_random(n=600, seed=60), \
                show_legend=False, width=.25) + \
    scale_color_grey(start=.75, end=0) + \
    scale_size(range=[1, 3])